{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from PIL import Image, ImageDraw, ImageFont\n",
    "from skimage import transform as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def create_captcha(text, shear=0, size=(100,24)):\n",
    "    im = Image.new(\"L\", size, \"black\")\n",
    "    draw = ImageDraw.Draw(im)\n",
    "    font = ImageFont.truetype(r\"Coval.otf\", 22)\n",
    "    draw.text((2, 2), text, fill=1, font=font)\n",
    "    image = np.array(im)\n",
    "    affine_tf = tf.AffineTransform(shear=shear)\n",
    "    image = tf.warp(image, affine_tf)\n",
    "    return image / image.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fbe01f3d198>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAABwCAYAAAA6/ErtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDQ0NDQ0NDQ0NDQ0NDQ2Np4v/D87IQfh22uh3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe020a4390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "image = create_captcha(\"GENE\", shear=0.5)\n",
    "plt.imshow(image, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage.measure import label, regionprops\n",
    "\n",
    "def segment_image(image):\n",
    "    labeled_image = label(image > 0)\n",
    "    subimages = []\n",
    "    for region in regionprops(labeled_image):\n",
    "        start_x, start_y, end_x, end_y = region.bbox\n",
    "        subimages.append(image[start_x:end_x, start_y:end_y])\n",
    "    if len(subimages) == 0:\n",
    "        return [image,]\n",
    "    return subimages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAksAAACRCAYAAADTh/xiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe01f945c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subimages = segment_image(image)\n",
    "f, axes = plt.subplots(1, len(subimages), figsize=(10, 3))\n",
    "for i in range(len(subimages)):\n",
    "    axes[i].imshow(subimages[i], cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.utils import check_random_state\n",
    "random_state = check_random_state(14)\n",
    "letters = list(\"ACBDEFGHIJKLMNOPQRSTUVWXYZ\")\n",
    "shear_values = np.arange(0, 0.5, 0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def generate_sample(random_state=None):\n",
    "    random_state = check_random_state(random_state)\n",
    "    letter = random_state.choice(letters)\n",
    "    shear = random_state.choice(shear_values)\n",
    "    return create_captcha(letter, shear=shear, size=(20, 20)), letters.index(letter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The target for this image is: 11\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPwAAAD7CAYAAABOrvnfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEIIIYQQQuzK/wM0vIhTjxisGAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe01e33d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, target = generate_sample(random_state)\n",
    "plt.imshow(image, cmap=\"gray\")\n",
    "print(\"The target for this image is: {0}\".format(target))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset, targets = zip(*(generate_sample(random_state) for i in\n",
    "range(3000)))\n",
    "dataset = np.array(dataset, dtype='float')\n",
    "targets = np.array(targets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "onehot = OneHotEncoder()\n",
    "y = onehot.fit_transform(targets.reshape(targets.shape[0],1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = y.todense()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage.transform import resize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset = np.array([resize(segment_image(sample)[0], (20, 20)) for\n",
    "sample in dataset])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = dataset.reshape((dataset.shape[0], dataset.shape[1] *\n",
    "dataset.shape[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.cross_validation import train_test_split\n",
    "X_train, X_test, y_train, y_test = \\\n",
    "train_test_split(X, y, train_size=0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pybrain.datasets import SupervisedDataSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "training = SupervisedDataSet(X.shape[1], y.shape[1])\n",
    "for i in range(X_train.shape[0]):\n",
    "    training.addSample(X_train[i], y_train[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "testing = SupervisedDataSet(X.shape[1], y.shape[1])\n",
    "for i in range(X_test.shape[0]):\n",
    "    testing.addSample(X_test[i], y_test[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pybrain.tools.shortcuts import buildNetwork\n",
    "net = buildNetwork(X.shape[1], 100, y.shape[1], bias=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pybrain.supervised.trainers import BackpropTrainer\n",
    "trainer = BackpropTrainer(net, training, learningrate=0.01,\n",
    "weightdecay=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trainer.trainEpochs(epochs=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predictions = trainer.testOnClassData(dataset=testing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F-score: 1.00\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import f1_score\n",
    "print(\"F-score: {0:.2f}\".format(f1_score(predictions, y_test.argmax(axis=1))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       1.00      1.00      1.00        10\n",
      "          1       1.00      1.00      1.00        10\n",
      "          2       1.00      1.00      1.00        11\n",
      "          3       1.00      1.00      1.00         9\n",
      "          4       1.00      0.86      0.92         7\n",
      "          5       0.92      1.00      0.96        11\n",
      "          6       1.00      1.00      1.00        10\n",
      "          7       1.00      1.00      1.00        16\n",
      "          8       1.00      1.00      1.00        13\n",
      "          9       1.00      1.00      1.00         9\n",
      "         10       1.00      1.00      1.00        12\n",
      "         11       1.00      1.00      1.00        13\n",
      "         12       1.00      1.00      1.00        11\n",
      "         13       1.00      1.00      1.00        13\n",
      "         14       1.00      1.00      1.00        14\n",
      "         15       1.00      1.00      1.00        13\n",
      "         16       1.00      1.00      1.00        15\n",
      "         17       1.00      1.00      1.00        17\n",
      "         18       1.00      1.00      1.00        13\n",
      "         19       1.00      1.00      1.00        13\n",
      "         20       1.00      1.00      1.00         9\n",
      "         21       1.00      1.00      1.00        11\n",
      "         22       1.00      1.00      1.00         9\n",
      "         23       1.00      1.00      1.00        15\n",
      "         24       1.00      1.00      1.00         9\n",
      "         25       1.00      1.00      1.00         7\n",
      "\n",
      "avg / total       1.00      1.00      1.00       300\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test.argmax(axis=1), predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def predict_captcha(captcha_image, neural_network):\n",
    "    subimages = segment_image(captcha_image)\n",
    "    predicted_word = \"\"\n",
    "    for subimage in subimages:\n",
    "        subimage = resize(subimage, (20, 20))\n",
    "        outputs = net.activate(subimage.flatten())\n",
    "        prediction = np.argmax(outputs)\n",
    "        predicted_word += letters[prediction]\n",
    "    return predicted_word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GENE\n"
     ]
    }
   ],
   "source": [
    "word = \"GENE\"\n",
    "captcha = create_captcha(word, shear=0.2)\n",
    "print(predict_captcha(captcha, net))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def test_prediction(word, net, shear=0.2):\n",
    "    captcha = create_captcha(word, shear=shear)\n",
    "    prediction = predict_captcha(captcha, net)\n",
    "    prediction = prediction[:4]\n",
    "    return word == prediction, word, prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nltk.corpus import words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "valid_words = [word.upper() for word in words.words() if len(word) == 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "num_correct = 0\n",
    "num_incorrect = 0\n",
    "for word in valid_words:\n",
    "    correct, word, prediction = test_prediction(word, net, shear=0.2)\n",
    "    if correct:\n",
    "        num_correct += 1\n",
    "    else:\n",
    "        num_incorrect += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number correct is 3453\n",
      "Number incorrect is 2060\n"
     ]
    }
   ],
   "source": [
    "print(\"Number correct is {0}\".format(num_correct))\n",
    "print(\"Number incorrect is {0}\".format(num_incorrect))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(np.argmax(y_test, axis=1), predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fbdfbd5e0f0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABHkAAAR4CAYAAACSMAp9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/w/tatS1CjdN8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbdfaf68128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "plt.imshow(cm, cmap=\"Blues\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of steps needed is: 1\n"
     ]
    }
   ],
   "source": [
    "from nltk.metrics import edit_distance\n",
    "steps = edit_distance(\"STEP\", \"STOP\")\n",
    "print(\"The number of steps needed is: {0}\".format(steps))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def compute_distance(prediction, word):\n",
    "    return len(prediction) - sum(prediction[i] == word[i] for i in range(len(prediction)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from operator import itemgetter\n",
    "def improved_prediction(word, net, dictionary, shear=0.2):\n",
    "    captcha = create_captcha(word, shear=shear)\n",
    "    prediction = predict_captcha(captcha, net)\n",
    "    prediction = prediction[:4]\n",
    "    if prediction not in dictionary:\n",
    "        distances = sorted([(word, compute_distance(prediction, word))\n",
    "                            for word in dictionary],\n",
    "                           key=itemgetter(1))\n",
    "        best_word = distances[0]\n",
    "        prediction = best_word[0]\n",
    "    return word == prediction, word, prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "cannot open resource",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-42-fe20ee79ead7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mnum_incorrect\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mword\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mvalid_words\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m     \u001b[0mcorrect\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mword\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprediction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimproved_prediction\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mword\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnet\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalid_words\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mshear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcorrect\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m         \u001b[0mnum_correct\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-41-1e2803e9aaea>\u001b[0m in \u001b[0;36mimproved_prediction\u001b[1;34m(word, net, dictionary, shear)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0moperator\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mitemgetter\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mimproved_prediction\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mword\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnet\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdictionary\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mshear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mcaptcha\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcreate_captcha\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mword\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mshear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mshear\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[0mprediction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpredict_captcha\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcaptcha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnet\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mprediction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mprediction\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-7-e98df31ba56b>\u001b[0m in \u001b[0;36mcreate_captcha\u001b[1;34m(text, shear, size)\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mim\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnew\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"L\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msize\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"black\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m     \u001b[0mdraw\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImageDraw\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mim\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m     \u001b[0mfont\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImageFont\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtruetype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mr\"Coval.otf\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m22\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m     \u001b[0mdraw\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfill\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfont\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m     \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mim\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python3/dist-packages/PIL/ImageFont.py\u001b[0m in \u001b[0;36mtruetype\u001b[1;34m(font, size, index, encoding, filename)\u001b[0m\n\u001b[0;32m    226\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    227\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 228\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mFreeTypeFont\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msize\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    229\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mIOError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    230\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplatform\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"win32\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python3/dist-packages/PIL/ImageFont.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, font, size, index, encoding, file)\u001b[0m\n\u001b[0;32m    129\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    130\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misPath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 131\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfont\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcore\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetfont\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msize\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    132\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    133\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfont_bytes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfont\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mOSError\u001b[0m: cannot open resource"
     ]
    }
   ],
   "source": [
    "num_correct = 0\n",
    "num_incorrect = 0\n",
    "for word in valid_words:\n",
    "    correct, word, prediction = improved_prediction (word, net, valid_words, shear=0.2)\n",
    "    if correct:\n",
    "        num_correct += 1\n",
    "    else:\n",
    "        num_incorrect += 1\n",
    "print(\"Number correct is {0}\".format(num_correct))\n",
    "print(\"Number incorrect is {0}\".format(num_incorrect))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
